In this paper, we propose a level set based object detection method for video surveillance which provides for a robust and real-time working object detection under various global illumination conditions. The pr
Rethinking Transformer-based Set Prediction for Object Detection——DETR收敛慢的原因分析,程序员大本营,技术文章内容聚合第一站。
project: GitHub - Edward-Sun/TSP-Detection: Code of ICCV paper: https://arxiv.org/abs/2011.10881 TL; DR DETR需要训练500 epochs,在8 V100 GPUs上至少训练10天才能收敛;Faster RCNN只需训练30 epochs。本文实验表明 1)Hungarian loss 和2)Transformer cross attention机制是导致DETR收敛慢的主要原因,并针对...
[TSP-FCOS]Rethinking Transformer-based Set Prediction for Object Detection Zhiqing,程序员大本营,技术文章内容聚合第一站。
When handling complex remote sensing scenarios, rotational angle information can improve detection accuracy and enhance algorithm robustness, providing support for fine-grained detection. Point set representation is one of the most commonly used methods in arbitrary-oriented object detection tasks, leveraging...
Contour-based object detection can be formulated as a matching problem between model contour parts and image edge fragments. We propose a novel solution by treating this problem as the problem of finding dominant sets in weighted graphs. The nodes of the graph are pairs composed of model contour...
This project is built withOpenPCDet(version0.3), a powerful toolbox for LiDAR-based 3D object detection. Please refer toOpenPCDet.mdand theofficial github repositoryfor more information. License This project is released under theApache 2.0 license. ...
point cloud;sampling strategy;semantic-guided farthest point sampling(S-FPS);plug-in module;point binary segmentation 3. 动机 作者发现,现有的point-based 3D目标检测中,常用SA模块对于context信息描述的效率不高。一般而言,SA模块先选择keypoints,再根据每个keypoints的周围点编码context representations。然而,在选...
Global Illumination Invariant Object Detection With Level Set Based Bimodal Segmentation Suk-Ho Lee, Hyenkyun Woo, and Moon Gi Kang, Member, IEEE Abstract—In this letter, we propose a new detection method for video surveillance which provides for a robust and real-time working object detection ...
3.2. Text detection For this step, an image containing the candidate text components is received as input. Inspired by earlier work [[38], [39], [40]] where the object-instance segmentation using a GCN has been explored successfully, the authors propose the use of a GCN to extract feature...